Profi League - Panthers

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Nikita Kucherov			X		100.00	66	42	84	91	75	88	93	91	63	54	56	61	60	76	76	0	52	72	0
2	Travis Zajac (C)	X				100.00	67	54	86	77	82	95	85	75	96	49	47	79	50	77	80	0	52	71	0
3	Alex Galchenyuk	X	X			100.00	66	43	89	88	68	85	94	83	87	49	54	61	56	65	67	0	52	70	0
4	Kyle Palmieri		X	X		100.00	74	54	82	83	66	87	81	81	63	49	54	64	50	75	77	0	52	69	0
5	Brian Gionta (A)			X		100.00	71	43	86	75	60	86	85	71	86	47	46	70	66	92	95	0	52	69	0
6	Boone Jenner	X	X			100.00	83	68	79	85	74	85	70	69	84	46	54	64	75	62	63	0	52	68	0
7	Jeff Skinner		X			100.00	60	41	82	87	68	85	92	74	62	47	53	61	50	69	69	0	52	67	0
8	Shawn Matthias	X	X			100.00	67	45	88	78	85	78	86	67	61	45	47	68	50	71	72	0	52	67	0
9	Nikolai Kulemin		X	X		100.00	71	45	88	80	88	80	92	64	60	44	44	74	50	60	61	0	52	67	0
10	Jannik Hansen		X	X		100.00	64	42	81	78	68	85	85	66	61	46	52	73	50	73	77	0	52	67	0
11	Nick Shore	X				100.00	72	44	83	79	63	74	80	67	91	42	40	66	50	56	56	0	55	63	0
12	Zack Kassian			X		100.00	79	81	56	77	59	58	68	64	60	40	40	60	50	64	65	0	45	60	0
13	Mark Streit (A)				X	100.00	69	42	85	85	70	87	88	79	25	49	43	75	50	88	93	0	52	72	0
14	Dan Boyle				X	100.00	71	43	84	83	77	78	87	76	25	45	45	75	58	98	99	0	52	72	0
15	Adam Larsson				X	100.00	80	68	74	86	91	89	89	75	25	45	40	81	50	75	69	0	52	72	0
16	Tyler Myers				X	100.00	70	58	73	84	93	92	88	78	25	47	44	78	53	70	71	0	52	72	0
17	Dmitry Kulikov				X	100.00	78	54	78	84	93	85	89	73	25	46	38	77	50	76	71	0	52	71	0
18	Justin Schultz				X	100.00	74	42	87	89	69	77	88	76	25	46	41	72	50	76	71	0	52	69	0
Rayé
1	Adam Henrique	X	X			92.89	66	53	88	86	78	94	89	83	87	47	54	76	50	77	79	0	43	73	0

	MOYENNE D'ÉQUIPE					99.58	71	51	82	83	75	84	86	74	58	46	47	70	54	74	74	0	51	69

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	James Reimer	100.00	81	83	87	90	76	73	75	79	75	78	72	78	77	0	52	77	0
2	Jacob Markstrom	99.00	75	80	88	83	75	78	73	72	76	73	53	71	70	0	52	74	0
Rayé
1	Eddie Lack	100.00	73	79	81	76	69	71	72	70	74	77	59	78	76	0	46	72	0

	MOYENNE D'ÉQUIPE	99.67	76	81	85	83	73	74	73	74	75	76	61	76	74	0	50	74

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	82	73	77	86	74	73	70	CAN	50	4	1,000,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Nikita Kucherov	Panthers		RW	4	2	2	4	-1	2	0	5	18	10	7	11.11%	0	17.:.13	0	1	1	0	0	0	0	0	0	100.00%	1	12	2	0	0	1.16	0	0
2	Kyle Palmieri	Panthers		LW/RW	4	0	3	3	-1	2	0	5	11	2	10	0.00%	2	16.:.31	0	1	1	0	0	0	1	0	0	50.00%	2	9	2	0	0	0.91	0	0
3	Boone Jenner	Panthers		C/LW	4	2	1	3	-1	0	0	12	10	0	9	20.00%	0	16.:.48	1	0	1	0	0	0	0	1	0	61.54%	13	5	2	0	0	0.89	0	1
4	Jeff Skinner	Panthers		LW	4	2	1	3	-1	0	0	3	16	2	4	12.50%	1	15.:.18	0	1	1	0	0	0	0	0	0	33.33%	3	10	0	0	0	0.98	0	0
5	Alex Galchenyuk	Panthers		C/LW	4	2	1	3	-2	0	0	5	10	4	10	20.00%	0	16.:.08	1	0	1	0	0	0	0	0	1	45.16%	31	11	1	0	0	0.93	0	0
6	Justin Schultz	Panthers		D	4	0	2	2	2	2	0	10	2	4	8	0.00%	5	17.:.54	0	0	0	0	1	1	2	0	0	0.00%	0	0	2	0	0	0.56	0	0
7	Travis Zajac	Panthers		C	4	0	2	2	0	0	0	2	9	3	7	0.00%	1	18.:.57	0	1	1	0	0	0	16	0	0	59.38%	64	4	5	0	0	0.53	0	0
8	Tyler Myers	Panthers		D	4	0	2	2	-2	6	0	6	9	2	5	0.00%	2	22.:.46	0	0	0	0	0	0	4	0	0	0.00%	0	1	10	0	0	0.44	0	0
9	Adam Henrique	Panthers		C/LW	3	1	1	2	0	0	0	2	8	2	8	12.50%	5	14.:.09	0	0	0	1	0	1	3	0	0	43.75%	32	3	1	0	0	0.94	0	0
10	Dmitry Kulikov	Panthers		D	4	0	1	1	0	0	0	6	2	2	3	0.00%	7	19.:.23	0	0	0	0	0	0	12	0	0	0.00%	0	3	3	0	0	0.26	0	0
11	Nick Shore	Panthers		C	3	0	1	1	1	0	0	1	3	2	1	0.00%	1	11.:.06	0	0	0	0	0	0	0	0	0	76.92%	13	0	0	0	0	0.60	0	0
12	Mark Streit	Panthers		D	4	1	0	1	-2	0	0	7	11	4	7	9.09%	5	21.:.07	0	0	0	0	0	0	2	0	0	0.00%	0	1	6	0	0	0.24	0	0
13	Adam Larsson	Panthers		D	4	0	1	1	-1	0	0	5	3	4	0	0.00%	7	19.:.30	0	0	0	0	0	0	13	0	0	0.00%	0	2	6	0	0	0.26	0	0
14	Nikolai Kulemin	Panthers		LW/RW	4	0	1	1	0	0	0	3	7	3	5	0.00%	4	14.:.48	0	0	0	0	0	0	15	0	0	66.67%	3	4	1	0	0	0.34	0	0
15	Jannik Hansen	Panthers		LW/RW	4	1	0	1	1	0	0	4	13	2	5	7.69%	3	16.:.16	0	0	0	0	0	0	2	0	0	0.00%	3	8	3	0	0	0.31	0	0
16	Shawn Matthias	Panthers		C/LW	4	0	0	0	0	0	0	3	7	2	3	0.00%	1	09.:.40	0	0	0	0	0	0	1	0	0	0.00%	2	6	2	0	0	0.00	0	0
17	Brian Gionta	Panthers		RW	4	0	0	0	0	0	0	5	8	2	3	0.00%	1	14.:.02	0	0	0	0	0	0	0	0	0	42.86%	21	5	1	0	0	0.00	1	1
18	Dan Boyle	Panthers		D	4	0	0	0	1	4	0	6	2	3	1	0.00%	7	17.:.55	0	0	0	0	0	0	3	0	0	0.00%	0	1	5	0	0	0.00	0	0
19	Zack Kassian	Panthers		RW	2	0	0	0	0	6	0	2	3	1	0	0.00%	0	09.:.22	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		72	11	19	30	-6	22	0	92	96	152	54	96	7.24%	52	1192	16.56	2	4	6	9	68	1	1	2	8	79	1	1	52.38%	189	85	52	0	0	0.50	1	2	0	0	0	2	0	1

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S2	S3
1	James Reimer	Panthers	2	2	0	0	94.4%	1.44	125	0	0	3	54	38	0	0	100.0%	3	2	2	1	0
2	Jacob Markstrom	Panthers	1	0	1	0	85.3%	5.00	60	0	0	5	34	20	0	0	0.0%	0	1	2	0	0
3	Eddie Lack	Panthers	1	0	1	0	87.9%	4.00	60	0	0	4	33	21	0	0	0.0%	0	1	0	0	0
Stats d'équipe Total ou en Moyenne	4	2	2	0	0.901	2.94	245	0	0	12	121	79	0	0	1.000	3	4	4	0	1

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Adam Henrique	C/LW	26	06.02.1990	No	195 Lbs	6 ft0	No	No	4	Pro & Farm	4,000,000$	0$	4,000,000$	4,000,000$	4,000,000$	Lien
Adam Larsson	D	23	12.11.1992 14:46:14	No	205 Lbs	6 ft3	Yes	No	1	Pro & Farm	3,000,000$	0$				Lien
Alex Galchenyuk	C/LW	22	12.02.1994 12:32:15	No	198 Lbs	6 ft1	No	No	2	Pro & Farm	2,900,000$	0$	2,900,000$			Lien
Boone Jenner	C/LW	23	15.06.1993 4:50:58	No	208 Lbs	6 ft2	No	No	1	Pro & Farm	1,200,000$	0$				Lien
Brian Gionta	RW	37	18.01.1979	No	176 Lbs	5 ft7	Yes	No	1	Pro & Farm	3,000,000$	0$				Lien
Dan Boyle	D	40	12.07.1976	No	190 Lbs	5 ft11	Yes	No	2	Pro & Farm	2,500,000$	0$	2,500,000$			Lien
Dmitry Kulikov	D	25	29.10.1990	No	204 Lbs	5 ft11	No	No	4	Pro & Farm	3,000,000$	0$	3,000,000$	3,000,000$	3,000,000$	Lien
Eddie Lack	G	28	05.01.1988	No	187 Lbs	6 ft4	No	No	3	Pro & Farm	2,100,000$	0$	2,100,000$	2,100,000$		Lien
Jacob Markstrom (Contrat à 1 Volet)	G	26	31.01.1990	No	196 Lbs	6 ft6	No	No	2	Pro & Farm	1,400,000$	0$	1,400,000$			Lien
James Reimer	G	28	15.03.1988	No	208 Lbs	6 ft2	No	No	1	Pro & Farm	3,000,000$	0$				Lien
Jannik Hansen	LW/RW	30	15.03.1986	No	195 Lbs	6 ft1	Yes	No	1	Pro & Farm	2,700,000$	0$				Lien
Jeff Skinner	LW	24	16.05.1992	No	200 Lbs	5 ft11	No	No	2	Pro & Farm	4,500,000$	0$	4,500,000$			Lien
Justin Schultz	D	26	06.07.1990 14:13:22	No	196 Lbs	6 ft2	No	No	1	Pro & Farm	2,400,000$	0$				Lien
Kyle Palmieri	LW/RW	25	01.02.1991	No	196 Lbs	5 ft11	No	No	1	Pro Only	1,500,000$	0$				Lien
Mark Streit	D	38	11.12.1977	No	191 Lbs	5 ft11	Yes	No	2	Pro & Farm	3,500,000$	0$	3,500,000$			Lien
Nick Shore	C	24	26.09.1992	No	188 Lbs	6 ft1	No	No	1	Pro & Farm	900,000$	0$				Lien
Nikita Kucherov	RW	23	17.06.1993 1:28:56	No	184 Lbs	5 ft11	No	No	1	Pro & Farm	1,000,000$	0$				Lien
Nikolai Kulemin	LW/RW	30	14.07.1986	No	227 Lbs	6 ft1	No	No	3	Pro & Farm	2,300,000$	0$	2,300,000$	2,300,000$		Lien
Shawn Matthias	C/LW	28	19.02.1988	No	223 Lbs	6 ft4	No	No	1	Pro Only	1,000,000$	0$				Lien
Travis Zajac	C	31	13.05.1985	No	205 Lbs	6 ft3	No	No	2	Pro & Farm	4,000,000$	0$	4,000,000$			Lien
Tyler Myers	D	26	01.02.1990	No	219 Lbs	6 ft8	No	No	3	Pro & Farm	3,900,000$	0$	3,900,000$	3,900,000$		Lien
Zack Kassian	RW	25	24.01.1991 0:19:16	No	214 Lbs	6 ft3	No	No	1	Pro Only	1,100,000$	0$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.64	200 Lbs	6 ft1	1.8181818181818	2,495,455$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Alex Galchenyuk	Boone Jenner	Nikita Kucherov	30	1	1	3
2	Travis Zajac	Jeff Skinner	Kyle Palmieri	30	1	1	3
3	Brian Gionta	Jannik Hansen	Nikolai Kulemin	30	1	2	2
4	Nick Shore	Shawn Matthias	Zack Kassian	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Mark Streit	30	1	2	2
2	Adam Larsson	Dan Boyle	30	1	2	2
3	Dmitry Kulikov	Justin Schultz	30	2	2	1
4	Tyler Myers	Mark Streit	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Alex Galchenyuk	Kyle Palmieri	Nikita Kucherov	60	1	0	4
2	Boone Jenner	Jeff Skinner	Brian Gionta	40	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Streit	Jannik Hansen	60	1	1	3
2	Tyler Myers	Dan Boyle	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Travis Zajac	Nikolai Kulemin	60	1	3	1
2	Brian Gionta	Jannik Hansen	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Larsson	Dmitry Kulikov	60	1	3	1
2	Tyler Myers	Dan Boyle	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Zajac	60	2	3	0	Adam Larsson	Dmitry Kulikov	60	1	4	0
2	Brian Gionta	40	2	3	0	Tyler Myers	Dan Boyle	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Travis Zajac	Nikita Kucherov	60	1	2	2
2	Boone Jenner	Kyle Palmieri	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Mark Streit	60	1	2	2
2	Adam Larsson	Dan Boyle	40	2	2	1

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Travis Zajac	Alex Galchenyuk	Nikita Kucherov	Tyler Myers	Mark Streit

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Travis Zajac	Brian Gionta	Jannik Hansen	Adam Larsson	Tyler Myers

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brian Gionta, Travis Zajac, Nikita Kucherov	Nikita Kucherov, Travis Zajac	Travis Zajac

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Myers, Adam Larsson, Dan Boyle	Tyler Myers	Mark Streit, Tyler Myers

Tirs de Pénalité
Boone Jenner, Brian Gionta, Nikita Kucherov, Dan Boyle, Alex Galchenyuk

Gardien
#1 : Jacob Markstrom, #2 : James Reimer

Lignes d'Attaque Perso. en Prol.
Shawn Matthias, Travis Zajac, Nikita Kucherov, Jannik Hansen, Alex Galchenyuk, Boone Jenner, Boone Jenner, Kyle Palmieri, Nikolai Kulemin, Jeff Skinner, Brian Gionta

Lignes de Défense Perso. en Prol.
Tyler Myers, Adam Larsson, Mark Streit, Dan Boyle, Dmitry Kulikov

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	VS Équipe	GP	W	L	SOW	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Devils	1	0	0	1	3	2	1	2	1.000	3	3	6	1	0	1	1	33	13	6	13	3	25	17	8	24	3	1	33.33%	4	1	75.00%	1	45	82	54.88%	37	61	60.66%	17	46	36.96%	25	17	22	8	16	8
2	Red Wings	1	1	0	0	3	1	2	2	1.000	3	6	9	0	2	1	0	35	4	16	15	0	29	13	4	25	2	1	50.00%	2	1	50.00%	0	45	82	54.88%	37	61	60.66%	17	46	36.96%	19	11	23	8	16	8
3	Oilers	1	0	1	0	2	4	-2	0	0.000	2	3	5	0	1	1	0	44	15	20	9	0	33	9	6	19	1	0	0.00%	3	0	100.00%	0	45	82	54.88%	37	61	60.66%	17	46	36.96%	22	15	23	7	14	6
4	Stars	1	0	1	0	4	5	-1	0	0.000	4	7	11	0	3	1	0	40	15	12	13	0	34	13	4	24	2	0	0.00%	2	0	100.00%	0	45	82	54.88%	37	61	60.66%	17	46	36.96%	24	16	21	7	13	7
	Vs Division	1	0	0	1	3	2	1	2	1.000	3	3	6	1	0	1	1	33	13	6	13	3	25	17	8	24	3	1	33.33%	4	1	75.00%	1	45	82	54.88%	37	61	60.66%	17	46	36.96%	25	17	22	8	16	8
	Vs Conference	1	0	0	1	3	2	1	2	1.000	3	3	6	1	0	1	1	33	13	6	13	3	25	17	8	24	3	1	33.33%	4	1	75.00%	1	45	82	54.88%	37	61	60.66%	17	46	36.96%	25	17	22	8	16	8
	Since Last GM Reset	4	1	2	1	12	12	0	4	0.500	12	19	31	1	6	4	1	152	47	54	50	3	121	52	22	92	8	2	25.00%	11	2	81.82%	1	45	82	54.88%	37	61	60.66%	17	46	36.96%	92	60	91	31	61	30
	Total	4	1	2	1	12	12	0	4	0.500	12	19	31	1	6	4	1	152	47	54	50	3	121	52	22	92	8	2	25.00%	11	2	81.82%	1	45	82	54.88%	37	61	60.66%	17	46	36.96%	92	60	91	31	61	30

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
4	4	L1	12	19	31	152	121	52	22	92	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	0	1	0	12	12

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	0	1	0	6	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	6	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	0	1	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
8	2	25.00%	11	2	81.82%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
47	54	50	3	1	6	4	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
45	82	54.88%	37	61	60.66%	17	46	36.96%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
92	60	91	31	61	30

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Nov 22	@	Panthers2,Oilers4	RECAP
Tue, Nov 26	@	Devils2,Panthers3 (SO)	RECAP
Wed, Nov 27	@	Red Wings1,Panthers3	RECAP
Fri, Nov 29	@	Panthers4,Stars5	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7315	3850	4813	1925	1348
Prix des Billets	94	54	33	22	188
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	19251	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
54,900,000$	14,050,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	0$	0$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	58,564,856$	58,564,856$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Adam Henrique	AGE:26	PO:0	OV:73
Alex Galchenyuk	AGE:22	PO:0	OV:70
Kyle Palmieri	AGE:25	PO:0	OV:69
Boone Jenner	AGE:23	PO:0	OV:68
Jeff Skinner	AGE:24	PO:0	OV:67
Shawn Matthias	AGE:28	PO:0	OV:67
Nikolai Kulemin	AGE:30	PO:0	OV:67
Jannik Hansen	AGE:30	PO:0	OV:67
Johan Larsson	AGE:24	PO:0	OV:65
Andre Burakovsky	AGE:21	PO:0	OV:64
*Reid Boucher	AGE:23	PO:0	OV:63
Dennis Everberg	AGE:24	PO:0	OV:56
Tyler Gaudet	AGE:23	PO:0	OV:56
Corban Knight	AGE:26	PO:0	OV:55
*Brendan Leipsic	AGE:22	PO:0	OV:54
Garrett Wilson	AGE:25	PO:0	OV:54
Jared Knight	AGE:24	PO:0	OV:53
*Ivan Barbashev	AGE:20	PO:0	OV:53

Adam Henrique	AGE:26	PO:0	OV:73
Travis Zajac	AGE:31	PO:0	OV:71
Alex Galchenyuk	AGE:22	PO:0	OV:70
Boone Jenner	AGE:23	PO:0	OV:68
Shawn Matthias	AGE:28	PO:0	OV:67
Johan Larsson	AGE:24	PO:0	OV:65
Andre Burakovsky	AGE:21	PO:0	OV:64
Nick Shore	AGE:24	PO:0	OV:63
Drew Shore	AGE:25	PO:0	OV:61
Tyler Gaudet	AGE:23	PO:0	OV:56
Corban Knight	AGE:26	PO:0	OV:55
*Brendan Leipsic	AGE:22	PO:0	OV:54
Jared Knight	AGE:24	PO:0	OV:53
*Austin Czarnik	AGE:23	PO:0	OV:53
Travis Oleksuk	AGE:27	PO:0	OV:53
*Ivan Barbashev	AGE:20	PO:0	OV:53

Nikita Kucherov	AGE:23	PO:0	OV:72
Kyle Palmieri	AGE:25	PO:0	OV:69
Brian Gionta	AGE:37	PO:0	OV:69
Nikolai Kulemin	AGE:30	PO:0	OV:67
Jannik Hansen	AGE:30	PO:0	OV:67
Johan Larsson	AGE:24	PO:0	OV:65
Andre Burakovsky	AGE:21	PO:0	OV:64
*Reid Boucher	AGE:23	PO:0	OV:63
Drew Shore	AGE:25	PO:0	OV:61
Zack Kassian	AGE:25	PO:0	OV:60
Dennis Everberg	AGE:24	PO:0	OV:56
Corban Knight	AGE:26	PO:0	OV:55
Jared Knight	AGE:24	PO:0	OV:53

Défense #1

Défense #2

Gardien

Mark Streit	AGE:38	PO:0	OV:72
Dan Boyle	AGE:40	PO:0	OV:72
Adam Larsson	AGE:23	PO:0	OV:72
Tyler Myers	AGE:26	PO:0	OV:72
Dmitry Kulikov	AGE:25	PO:0	OV:71
Justin Schultz	AGE:26	PO:0	OV:69
*Ben Hutton	AGE:23	PO:0	OV:67
Patrick Wiercioch	AGE:26	PO:0	OV:65
Zach Trotman	AGE:26	PO:0	OV:64

*Nikita Tryamkin	AGE:22	PO:0	OV:63
*Brandon Montour	AGE:22	PO:0	OV:58
Matt Donovan	AGE:26	PO:0	OV:56
Colby Robak	AGE:26	PO:0	OV:54
Jon Landry	AGE:32	PO:0	OV:54
*Joakim Ryan	AGE:23	PO:0	OV:54
Bobby Sanguinetti	AGE:28	PO:0	OV:54
Cameron Schilling	AGE:28	PO:0	OV:53
Johan Alm	AGE:24	PO:0	OV:52

James Reimer	AGE:28	PO:0	OV:77
Jacob Markstrom	AGE:26	PO:0	OV:74
*Andrei Vasilevskiy	AGE:22	PO:0	OV:73
Eddie Lack	AGE:28	PO:0	OV:72
Jussi Olkinuora	AGE:25	PO:0	OV:59

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
A.J. Greer	Panthers	2015	69
Adam Gaudette	Panthers	2016	160
Adam Marsh	Panthers	2015	159
Alexander Peters	Panthers	2014	109
Alexander Polunin	Panthers	2016	249
Anthony Florentino	Panthers	2013	168
Brandon Fortunato	Panthers	2014	199
Brandon McMillan	Panthers
Cam Dineen	Panthers	2016	40
Damir Sharipzyanov	Panthers	2014	229
Dane Fox	Panthers	2014	128
Frans Tuohimaa	Panthers	2011	174
Garrett Haar	Panthers	2011	200
Gavin Bayreuther	Panthers	2014	52
Glenn Gawdin	Panthers	2015	102
Igor Shesterkin	Panthers	2014	142
Ilya Samsonov	Panthers	2015	39
James De Haas	Panthers	2016	185
Jared Hauf	Panthers	2013	183
Joel Eriksson Ek	Panthers	2015	17
Jonathan Davidsson	Panthers	2016	248
Joonas Lyytinen	Panthers	2014	208
Juuso Ikonen	Panthers	2013	123
Kasimir Kaskisuo	Panthers	2014	188
Kristian Reichel	Panthers	2016	247
Logan Brown	Panthers	2016	10
Marek Langhamer	Panthers	2012	202
Maxim Chudinov	Panthers
Pavel Zacha	Panthers	2015	9
Radovan Bondra	Panthers	2015	99
Robin Press	Panthers	2014	172
Ryane Clowe	Panthers
Scott Savage	Panthers	2014	201
Sebastian Aho	Panthers	2014	78
Stephen Weiss	Panthers
Travis Brown	Panthers	2012	183
Travis Dermott	Panthers	2015	38
Ty Ronning	Panthers	2016	130
Tyler Hill	Panthers	2013	153
Veini Vehvilainen	Panthers	2015	143
Vince Dunn	Panthers	2015	37
Vladislav Gavrikov	Panthers	2015	129
Zachary Yuen	Panthers	2011	117

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	FLA	FLA		FLA	FLA	FLA	FLA
2018	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2019	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2020	FLA	FLA	FLA	FLA	FLA	FLA	FLA
2021	FLA	FLA	FLA	FLA	FLA	FLA	FLA

[08.09.2016 7:46:14] - Panthers drafts Cam Dineen as the #40 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:12:46] - Brendan Leipsic was added to Panthers.
[14.09.2016 7:12:46] - Brendan Leipsic signed with Panthers for 1 300 000 Kč for 2 year(s) with 0 Kč in bonus.
[19.09.2016 5:24:58] - Brian Gionta was added to Panthers.
[19.09.2016 5:24:58] - Brian Gionta signed with Panthers for 3 000 000 Kč for 1 year(s) with 0 Kč in bonus.
[19.09.2016 5:26:14] - Mark Streit was added to Panthers.
[19.09.2016 5:26:14] - Mark Streit signed with Panthers for 3 500 000 Kč for 2 year(s) with 0 Kč in bonus.
[24.09.2016 5:39:58] - Rampage hired Geordie Kinnear for 100 000 Kč for 5 year(s).
[26.09.2016 6:04:08] - Panthers drafts Ty Ronning as the #130 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:21:10] - Panthers drafts Adam Gaudette as the #160 overall pick in the Entry Draft of year 2016.
[08.10.2016 6:02:46] - Panthers drafts James De Haas as the #185 overall pick in the Entry Draft of year 2016.
[15.10.2016 22:15:30] - Unknown Player is no longer captain for Rampage.
[15.10.2016 22:15:30] - Ryane Clowe has been selected as captain for Rampage.
[15.10.2016 22:15:30] - Unknown Player is no longer as assistant for Rampage.
[15.10.2016 22:15:30] - Brandon Bollig has been selected as assistant for Rampage.
[15.10.2016 22:15:30] - Unknown Player is no longer as assistant for Rampage.
[15.10.2016 22:15:30] - Andre Burakovsky has been selected as assistant for Rampage.
[16.10.2016 22:46:11] - Tyler Myers is no longer as assistant for Panthers.
[16.10.2016 22:46:11] - Brian Gionta has been selected as assistant for Panthers.
[16.10.2016 22:46:11] - Adam Henrique is no longer as assistant for Panthers.
[16.10.2016 22:46:11] - Mark Streit has been selected as assistant for Panthers.
[16.10.2016 22:46:11] - Ryane Clowe is no longer captain for Rampage.
[16.10.2016 22:46:11] - Patrick Wiercioch has been selected as captain for Rampage.
[16.10.2016 22:46:11] - Brandon Bollig is no longer as assistant for Rampage.
[16.10.2016 22:46:11] - Johan Larsson has been selected as assistant for Rampage.
[20.10.2016 5:27:09] - Kristian Reichel has been added to Panthers.
[20.10.2016 5:27:20] - Jonathan Davidsson has been added to Panthers.
[20.10.2016 5:27:34] - Alexander Polunin has been added to Panthers.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT